Senior Software Development Engineer, ProdOps OAT, Project Kuiper

Machine Learning Engineer

Project Kuiper is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Role Overview

As a Machine Learning (ML) Engineer, you will lead the design, architecture, and development of end-to-end AI/ML solutions at scale, owning the infrastructure for building and deploying these systems. Working closely with scientists and engineers, you'll help implement AWS-based AI/ML and GenAI solutions that meet both technical and business needs.

As a pioneering ML Engineer within Kuiper ProdOps, you will drive hands-on development of high quality ML solutions. You are a technical leader that tackles new initiatives and engage effectively with both technical and business stakeholders. Your ability to synthesize and communicate complex topics to diverse audiences will be key to solving business problems and innovating for the future. You will strive for simplicity, combining deep technical expertise with creating problem-solving and strategic thinking, making high-impact on the business and driving innovation for the future.

Key Job Responsibilities

• Design, develop, and maintain advanced machine learning architectures and intelligent systems
• Create robust, scalable ML infrastructure and pipelines
• Develop end-to-end AI solutions addressing complex technical and business challenges
• Partner with scientists and engineers to architect machine learning models with a focus on performance, scalability, and efficiency
• Conduct advanced research and prototype innovative AI/ML approaches
• Collaborate cross-functionally to align technical solutions with strategic objectives
• Mentor junior engineers and contribute to technical knowledge sharing
• Lead technical design reviews and provide architectural guidance
• Operate in a dynamic environment to deliver high quality software against competitive schedules with rapidly-evolving priorities
• Convey complex ideas in simple terms to both technical and non-technical audiences, using clear written and verbal communication